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Found 11 papers, 3 papers with code
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
To review progress in the field, the analysis also compared the best methods participating in CAFA1 to those of CAFA2.
Quantitative Methods
Biomedical Named Entity Recognition with Multilingual BERT
We present the approach of the Turku NLP group to the PharmaCoNER task on Spanish biomedical named entity recognition.
End-to-End System for Bacteria Habitat Extraction
The official evaluation shows that the joint performance of our entity detection and relation extraction models outperforms the winning team of the Shared Task by 19pp on F1-score, establishing a new top score for the task.
Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network
Our aim is to allow nurses to write in a narrative manner without having to plan and structure the text with respect to sections and subject headings, instead the system should assist with the assignment of subject headings and restructuring afterwards.
Detecting mentions of pain and acute confusion in Finnish clinical text
We study and compare two different approaches to the task of automatic assignment of predefined classes to clinical free-text narratives.
Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction
A common approach for improving OCR quality is a post-processing step based on models correcting misdetected characters and tokens.
